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UVR.py
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# GUI modules
import os
import glob
from re import T
import pyperclip
import natsort
from gc import freeze
import tkinter as tk
from tkinter import *
from tkinter.tix import *
import webbrowser
from tracemalloc import stop
import lib_v5.sv_ttk
import tkinter.ttk as ttk
import tkinter.messagebox
import tkinter.filedialog
import tkinter.font
from tkinterdnd2 import TkinterDnD, DND_FILES # Enable Drag & Drop
import pyglet,tkinter
from datetime import datetime
# Images
from PIL import Image
from PIL import ImageTk
import pickle # Save Data
from pathlib import Path
import hashlib
import wget
import time
import ctypes
import trace
import zipfile
import traceback
import torch
# Pathfinding
import pathlib
import sys
import subprocess
from collections import defaultdict
# Used for live text displaying
import queue
import threading # Run the algorithm inside a thread
from subprocess import call
from pathlib import Path
import ctypes as ct
import subprocess # Run python file
import inference_MDX
import inference_v5
import inference_v5_ensemble
import inference_demucs
import lib_v5.filelist
import shutil
import importlib
import urllib.request
import pyAesCrypt
from __version__ import VERSION
from win32api import GetSystemMetrics
try:
with open(os.path.join(os.getcwd(), 'tmp', 'splash.txt'), 'w') as f:
f.write('1')
except:
pass
class KThread(threading.Thread):
def __init__(self, *args, **keywords):
threading.Thread.__init__(self, *args, **keywords)
self.killed = False
def start(self):
self.__run_backup = self.run
self.run = self.__run
threading.Thread.start(self)
def __run(self):
sys.settrace(self.globaltrace)
self.__run_backup()
self.run = self.__run_backup
def globaltrace(self, frame, why, arg):
if why == 'call':
return self.localtrace
else:
return None
def localtrace(self, frame, why, arg):
if self.killed:
if why == 'line':
raise SystemExit()
return self.localtrace
def kill(self):
self.killed = True
# Change the current working directory to the directory
# this file sits in
if getattr(sys, 'frozen', False):
# If the application is run as a bundle, the PyInstaller bootloader
# extends the sys module by a flag frozen=True and sets the app
# path into variable _MEIPASS'.
base_path = sys._MEIPASS
else:
base_path = os.path.dirname(os.path.abspath(__file__))
os.chdir(base_path) # Change the current working directory to the base path
demucs_v3_repo_folder_path = 'models/Demucs_Models'
demucs_v3_repo_folder_path_b = 'models/Demucs_Models/v3_repo'
if not os.path.isdir(demucs_v3_repo_folder_path):
os.mkdir(demucs_v3_repo_folder_path)
if not os.path.isdir(demucs_v3_repo_folder_path_b):
os.mkdir(demucs_v3_repo_folder_path_b)
try:
shutil.move("models/Demucs_Models/5d2d6c55-db83574e.th", "models/Demucs_Models/v3_repo/5d2d6c55-db83574e.th")
shutil.move("models/Demucs_Models/7fd6ef75-a905dd85.th", "models/Demucs_Models/v3_repo/7fd6ef75-a905dd85.th")
shutil.move("models/Demucs_Models/14fc6a69-a89dd0ee.th", "models/Demucs_Models/v3_repo/14fc6a69-a89dd0ee.th")
shutil.move("models/Demucs_Models/83fc094f-4a16d450.th", "models/Demucs_Models/v3_repo/83fc094f-4a16d450.th")
shutil.move("models/Demucs_Models/464b36d7-e5a9386e.th", "models/Demucs_Models/v3_repo/464b36d7-e5a9386e.th")
shutil.move("models/Demucs_Models/a1d90b5c-ae9d2452.th", "models/Demucs_Models/v3_repo/a1d90b5c-ae9d2452.th")
shutil.move("models/Demucs_Models/cfa93e08-61801ae1.th", "models/Demucs_Models/v3_repo/cfa93e08-61801ae1.th")
shutil.move("models/Demucs_Models/e51eebcc-c1b80bdd.th", "models/Demucs_Models/v3_repo/e51eebcc-c1b80bdd.th")
shutil.move("models/Demucs_Models/ebf34a2d.th", "models/Demucs_Models/v3_repo/ebf34a2d.th")
shutil.move("models/Demucs_Models/ebf34a2db.th", "models/Demucs_Models/v3_repo/ebf34a2db.th")
print('Demucs v3 models have been moved to the correct directory.')
except:
pass
try:
srcdir = "models/Demucs_Models/v3_repo"
dstdir = "models/Demucs_Models"
for basename in os.listdir(srcdir):
if basename.endswith('.yaml'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
shutil.copy2(pathname, dstdir)
except:
pass
try:
srcdir = "models/Demucs_Models"
dstdir = "models/Demucs_Models/v3_repo"
for basename in os.listdir(srcdir):
if basename.endswith('.yaml'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
shutil.copy2(pathname, dstdir)
except:
pass
try:
srcdir = "models/Demucs_Models"
for basename in os.listdir(srcdir):
if basename.endswith('.tmp'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
os.remove(pathname)
except:
pass
try:
srcdir = "models/Main_Models"
for basename in os.listdir(srcdir):
if basename.endswith('.tmp'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
os.remove(pathname)
except:
pass
try:
srcdir = "models/MDX_Net_Models"
for basename in os.listdir(srcdir):
if basename.endswith('.tmp'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
os.remove(pathname)
except:
pass
try:
with open('lib_v5/filelists/ensemble_list/mdx_demuc_en_list.txt', 'w') as f:
f.write('No Model\nNo Model\n')
except:
pass
try:
srcdir = "models/Demucs_Models/v3_repo"
for basename in os.listdir(srcdir):
if basename.endswith('.tmp'):
pathname = os.path.join(srcdir, basename)
if os.path.isfile(pathname):
os.remove(pathname)
except:
pass
try:
os.rename("models/Main_Models/MGM_HIGHEND_v4_sr44100_hl1024_nf2048.pth", "models/Main_Models/MGM_HIGHEND_v4.pth")
os.rename("models/Main_Models/MGM_LOWEND_A_v4_sr32000_hl512_nf2048.pth", "models/Main_Models/MGM_LOWEND_A_v4.pth")
os.rename("models/Main_Models/MGM_LOWEND_B_v4_sr33075_hl384_nf2048.pth", "models/Main_Models/MGM_LOWEND_B_v4.pth")
os.rename("models/Main_Models/MGM_MAIN_v4_sr44100_hl512_nf2048.pth", "models/Main_Models/MGM_MAIN_v4.pth")
except:
pass
try:
os.rename("models/MDX_Net_Models/UVR_MDXNET_9703.onnx", "models/MDX_Net_Models/UVR_MDXNET_1_9703.onnx")
os.rename("models/MDX_Net_Models/UVR_MDXNET_9682.onnx", "models/MDX_Net_Models/UVR_MDXNET_2_9682.onnx")
os.rename("models/MDX_Net_Models/UVR_MDXNET_9662.onnx", "models/MDX_Net_Models/UVR_MDXNET_3_9662.onnx")
except:
pass
#Images
banner_path = os.path.join(base_path, 'img', 'UVR-banner.png')
credits_path = os.path.join(base_path, 'img', 'credits.png')
demucs_opt_path = os.path.join(base_path, 'img', 'demucs_opt.png')
download_path = os.path.join(base_path, 'img', 'download.png')
efile_path = os.path.join(base_path, 'img', 'file.png')
ense_opt_path = os.path.join(base_path, 'img', 'ense_opt.png')
gen_opt_path = os.path.join(base_path, 'img', 'gen_opt.png')
help_path = os.path.join(base_path, 'img', 'help.png')
instrumentalModels_dir = os.path.join(base_path, 'models')
key_path = os.path.join(base_path, 'img', 'key.png')
mdx_opt_path = os.path.join(base_path, 'img', 'mdx_opt.png')
stop_path = os.path.join(base_path, 'img', 'stop.png')
user_ens_opt_path = os.path.join(base_path, 'img', 'user_ens_opt.png')
vr_opt_path = os.path.join(base_path, 'img', 'vr_opt.png')
try:
with open('uvr_patch_version.txt', 'r') as file :
patch_version = file.read()
os.remove(f'{patch_version}.exe')
except:
pass
DEFAULT_DATA = {
'agg': 10,
'aiModel': 'MDX-Net',
'algo': 'Instrumentals (Min Spec)',
'appendensem': False,
'audfile': True,
'aud_mdx': True,
'autocompensate': True,
'break': False,
'channel': 64,
'chunks': 'Auto',
'chunks_d': 'Auto',
'compensate': 1.03597672895,
'demucs_only': False,
'demucs_stems': 'All Stems',
'DemucsModel': 'mdx_extra',
'demucsmodel': False,
'DemucsModel_MDX': 'UVR_Demucs_Model_1',
'demucsmodel_sel_VR': 'UVR_Demucs_Model_1',
'demucsmodelVR': False,
'dim_f': 2048,
'ensChoose': 'Multi-AI Ensemble',
'exportPath': '',
'flactype': 'PCM_16',
'gpu': False,
'inputPaths': [],
'inst_only': False,
'inst_only_b': False,
'lastDir': None,
'margin': 44100,
'mdx_ensem': 'MDX-Net: UVR-MDX-NET Main',
'mdx_ensem_b': 'No Model',
'mdx_only_ensem_a': 'MDX-Net: UVR-MDX-NET Main',
'mdx_only_ensem_b': 'MDX-Net: UVR-MDX-NET 1',
'mdx_only_ensem_c': 'No Model',
'mdx_only_ensem_d': 'No Model',
'mdx_only_ensem_e': 'No Model',
'mdxnetModel': 'UVR-MDX-NET Main',
'mdxnetModeltype': 'Vocals (Custom)',
'mixing': 'Default',
'modeldownload': 'No Model Selected',
'modeldownload_mdx': 'No Model Selected',
'modeldownload_demucs': 'No Model Selected',
'modeldownload_type': 'VR Arc',
'modelFolder': False,
'modelInstrumentalLabel': '',
'ModelParams': 'Auto',
'mp3bit': '320k',
'n_fft_scale': 6144,
'noise_pro_select': 'Auto Select',
'noise_reduc': True,
'noisereduc_s': '3',
'non_red': False,
'nophaseinst': False,
'normalize': False,
'output_image': False,
'overlap': 0.25,
'overlap_b': 0.25,
'postprocess': False,
'save': True,
'saveFormat': 'Wav',
'selectdownload': 'VR Arc',
'segment': 'None',
'settest': False,
'shifts': 2,
'shifts_b': 2,
'split_mode': True,
'tta': False,
'useModel': 'instrumental',
'voc_only': False,
'voc_only_b': False,
'vr_ensem': '2_HP-UVR',
'vr_ensem_a': '1_HP-UVR',
'vr_ensem_b': '2_HP-UVR',
'vr_ensem_c': 'No Model',
'vr_ensem_d': 'No Model',
'vr_ensem_e': 'No Model',
'vr_ensem_mdx_a': 'No Model',
'vr_ensem_mdx_b': 'No Model',
'vr_ensem_mdx_c': 'No Model',
'vr_multi_USER_model_param_1': 'Auto',
'vr_multi_USER_model_param_2': 'Auto',
'vr_multi_USER_model_param_3': 'Auto',
'vr_multi_USER_model_param_4': 'Auto',
'vr_basic_USER_model_param_1': 'Auto',
'vr_basic_USER_model_param_2': 'Auto',
'vr_basic_USER_model_param_3': 'Auto',
'vr_basic_USER_model_param_4': 'Auto',
'vr_basic_USER_model_param_5': 'Auto',
'wavtype': 'PCM_16',
'window_size': '512',
}
def open_image(path: str, size: tuple = None, keep_aspect: bool = True, rotate: int = 0) -> ImageTk.PhotoImage:
"""
Open the image on the path and apply given settings\n
Paramaters:
path(str):
Absolute path of the image
size(tuple):
first value - width
second value - height
keep_aspect(bool):
keep aspect ratio of image and resize
to maximum possible width and height
(maxima are given by size)
rotate(int):
clockwise rotation of image
Returns(ImageTk.PhotoImage):
Image of path
"""
img = Image.open(path).convert(mode='RGBA')
ratio = img.height/img.width
img = img.rotate(angle=-rotate)
if size is not None:
size = (int(size[0]), int(size[1]))
if keep_aspect:
img = img.resize((size[0], int(size[0] * ratio)), Image.ANTIALIAS)
else:
img = img.resize(size, Image.ANTIALIAS)
return ImageTk.PhotoImage(img)
def save_data(data):
"""
Saves given data as a .pkl (pickle) file
Paramters:
data(dict):
Dictionary containing all the necessary data to save
"""
# Open data file, create it if it does not exist
with open('data.pkl', 'wb') as data_file:
pickle.dump(data, data_file)
def load_data_alt():
save_data(data=DEFAULT_DATA)
return load_data()
def load_data() -> dict:
"""
Loads saved pkl file and returns the stored data
Returns(dict):
Dictionary containing all the saved data
"""
try:
with open('data.pkl', 'rb') as data_file: # Open data file
data = pickle.load(data_file)
return data
except (ValueError, FileNotFoundError):
# Data File is corrupted or not found so recreate it
save_data(data=DEFAULT_DATA)
return load_data()
def drop(event, accept_mode: str = 'files'):
"""
Drag & Drop verification process
"""
global dnd
global dnddir
path = event.data
if accept_mode == 'folder':
path = path.replace('{', '').replace('}', '')
if not os.path.isdir(path):
tk.messagebox.showerror(title='Invalid Folder',
message='Your given export path is not a valid folder!')
return
# Set Variables
root.exportPath_var.set(path)
elif accept_mode == 'files':
# Clean path text and set path to the list of paths
path = path.replace('{', '')
path = path.split('} ')
path[-1] = path[-1].replace('}', '')
# Set Variables
dnd = 'yes'
root.inputPaths = path
root.update_inputPaths()
dnddir = os.path.dirname(path[0])
else:
# Invalid accept mode
return
class ThreadSafeConsole(tk.Text):
"""
Text Widget which is thread safe for tkinter
"""
def __init__(self, master, **options):
tk.Text.__init__(self, master, **options)
self.queue = queue.Queue()
self.update_me()
def write(self, line):
self.queue.put(line)
def clear(self):
self.queue.put(None)
def update_me(self):
self.configure(state=tk.NORMAL)
try:
while 1:
line = self.queue.get_nowait()
if line is None:
self.delete(1.0, tk.END)
else:
self.insert(tk.END, str(line))
self.see(tk.END)
self.update_idletasks()
except queue.Empty:
pass
self.configure(state=tk.DISABLED)
self.after(100, self.update_me)
class MainWindow(TkinterDnD.Tk):
# --Constants--
# Layout
if GetSystemMetrics(1) >= 900:
IMAGE_HEIGHT = 140
FILEPATHS_HEIGHT = 85
OPTIONS_HEIGHT = 275
CONVERSIONBUTTON_HEIGHT = 35
COMMAND_HEIGHT = 200
PROGRESS_HEIGHT = 30
PADDING = 10
elif GetSystemMetrics(1) <= 720:
IMAGE_HEIGHT = 135
FILEPATHS_HEIGHT = 85
OPTIONS_HEIGHT = 274
CONVERSIONBUTTON_HEIGHT = 35
COMMAND_HEIGHT = 80
PROGRESS_HEIGHT = 6
PADDING = 5
else:
IMAGE_HEIGHT = 135
FILEPATHS_HEIGHT = 85
OPTIONS_HEIGHT = 274
CONVERSIONBUTTON_HEIGHT = 35
COMMAND_HEIGHT = 115
PROGRESS_HEIGHT = 6
PADDING = 7
COL1_ROWS = 11
COL2_ROWS = 11
def __init__(self):
# Run the __init__ method on the tk.Tk class
super().__init__()
# Calculate window height
height = self.IMAGE_HEIGHT + self.FILEPATHS_HEIGHT + self.OPTIONS_HEIGHT
height += self.CONVERSIONBUTTON_HEIGHT + self.COMMAND_HEIGHT + self.PROGRESS_HEIGHT
height += self.PADDING * 5 # Padding
# --Window Settings--
self.title('Ultimate Vocal Remover')
# Set Geometry and Center Window
self.geometry('{width}x{height}+{xpad}+{ypad}'.format(
width=620,
height=height,
xpad=int(self.winfo_screenwidth()/2 - 635/2),
ypad=int(self.winfo_screenheight()/2 - height/2 - 30)))
if GetSystemMetrics(1) >= 900:
pass
else:
self.tk.call('tk', 'scaling', 1.1)
self.configure(bg='#0e0e0f') # Set background color to #0c0c0d
self.protocol("WM_DELETE_WINDOW", self.save_values)
self.resizable(False, False)
self.update()
# --Variables--
self.logo_img = open_image(path=banner_path,
size=(self.winfo_width(), 9999))
self.efile_img = open_image(path=efile_path,
size=(20, 20))
self.stop_img = open_image(path=stop_path,
size=(20, 20))
self.help_img = open_image(path=help_path,
size=(20, 20))
self.download_img = open_image(path=download_path,
size=(30, 30))
self.key_img = open_image(path=key_path,
size=(30, 30))
if GetSystemMetrics(1) >= 900:
self.gen_opt_img = open_image(path=gen_opt_path,
size=(900, 826))
self.mdx_opt_img = open_image(path=mdx_opt_path,
size=(900, 826))
self.vr_opt_img = open_image(path=vr_opt_path,
size=(900, 826))
self.demucs_opt_img = open_image(path=demucs_opt_path,
size=(900, 826))
self.ense_opt_img = open_image(path=ense_opt_path,
size=(900, 826))
self.user_ens_opt_img = open_image(path=user_ens_opt_path,
size=(900, 826))
self.credits_img = open_image(path=credits_path,
size=(100, 100))
elif GetSystemMetrics(1) <= 720:
self.gen_opt_img = open_image(path=gen_opt_path,
size=(740, 826))
self.mdx_opt_img = open_image(path=mdx_opt_path,
size=(740, 826))
self.vr_opt_img = open_image(path=vr_opt_path,
size=(695, 826))
self.demucs_opt_img = open_image(path=demucs_opt_path,
size=(695, 826))
self.ense_opt_img = open_image(path=ense_opt_path,
size=(740, 826))
self.user_ens_opt_img = open_image(path=user_ens_opt_path,
size=(740, 826))
self.credits_img = open_image(path=credits_path,
size=(50, 50))
else:
self.gen_opt_img = open_image(path=gen_opt_path,
size=(740, 826))
self.mdx_opt_img = open_image(path=mdx_opt_path,
size=(740, 826))
self.vr_opt_img = open_image(path=vr_opt_path,
size=(730, 826))
self.demucs_opt_img = open_image(path=vr_opt_path,
size=(730, 826))
self.ense_opt_img = open_image(path=demucs_opt_path,
size=(740, 826))
self.user_ens_opt_img = open_image(path=user_ens_opt_path,
size=(740, 826))
self.credits_img = open_image(path=credits_path,
size=(50, 50))
self.instrumentalLabel_to_path = defaultdict(lambda: '')
self.lastInstrumentalModels = []
self.lastInstrumentalModels_ensem = []
self.lastmdx_demuc_ensem = []
self.MDXLabel_to_path = defaultdict(lambda: '')
self.lastMDXModels = []
self.ModelParamsLabel_to_path = defaultdict(lambda: '')
self.lastModelParams = []
self.DemucsLabel_to_path = defaultdict(lambda: '')
self.lastDemucsModels = []
self.ModelParamsLabel_ens_to_path = defaultdict(lambda: '')
self.lastModelParams_ens = []
# -Tkinter Value Holders-
data = load_data()
data_alt = load_data_alt()
try:
self.agg_var = tk.StringVar(value=data['agg'])
except:
self.agg_var = tk.StringVar(value=data_alt['agg'])
try:
self.aiModel_var = tk.StringVar(value=data['aiModel'])
except:
self.aiModel_var = tk.StringVar(value=data_alt['aiModel'])
try:
self.algo_var = tk.StringVar(value=data['algo'])
except:
self.algo_var = tk.StringVar(value=data_alt['algo'])
try:
self.appendensem_var = tk.BooleanVar(value=data['appendensem'])
except:
self.appendensem_var = tk.BooleanVar(value=data_alt['appendensem'])
try:
self.audfile_var = tk.BooleanVar(value=data['audfile'])
except:
self.audfile_var = tk.BooleanVar(value=data_alt['audfile'])
try:
self.aud_mdx_var = tk.BooleanVar(value=data['aud_mdx'])
except:
self.aud_mdx_var = tk.BooleanVar(value=data_alt['aud_mdx'])
try:
self.autocompensate_var = tk.BooleanVar(value=data['autocompensate'])
except:
self.autocompensate_var = tk.BooleanVar(value=data_alt['autocompensate'])
try:
self.channel_var = tk.StringVar(value=data['channel'])
except:
self.channel_var = tk.StringVar(value=data_alt['channel'])
try:
self.chunks_d_var = tk.StringVar(value=data['chunks_d'])
except:
self.chunks_d_var = tk.StringVar(value=data_alt['chunks_d'])
try:
self.chunks_var = tk.StringVar(value=data['chunks'])
except:
self.chunks_var = tk.StringVar(value=data_alt['chunks'])
try:
self.compensate_var = tk.StringVar(value=data['compensate'])
except:
self.compensate_var = tk.StringVar(value=data_alt['compensate'])
try:
self.demucs_only_var = tk.BooleanVar(value=data['demucs_only'])
except:
self.demucs_only_var = tk.BooleanVar(value=data_alt['demucs_only'])
try:
self.demucs_stems_var = tk.StringVar(value=data['demucs_stems'])
except:
self.demucs_stems_var = tk.StringVar(value=data_alt['demucs_stems'])
try:
self.DemucsModel_MDX_var = tk.StringVar(value=data['DemucsModel_MDX'])
except:
self.DemucsModel_MDX_var = tk.StringVar(value=data_alt['DemucsModel_MDX'])
try:
self.demucsmodel_sel_VR_var = tk.StringVar(value=data['demucsmodel_sel_VR'])
except:
self.demucsmodel_sel_VR_var = tk.StringVar(value=data_alt['demucsmodel_sel_VR'])
try:
self.demucsmodel_var = tk.BooleanVar(value=data['demucsmodel'])
except:
self.demucsmodel_var = tk.BooleanVar(value=data_alt['demucsmodel'])
try:
self.DemucsModel_var = tk.StringVar(value=data['DemucsModel'])
except:
self.DemucsModel_var = tk.StringVar(value=data_alt['DemucsModel'])
try:
self.demucsmodelVR_var = tk.BooleanVar(value=data['demucsmodelVR'])
except:
self.demucsmodelVR_var = tk.BooleanVar(value=data_alt['demucsmodelVR'])
try:
self.dim_f_var = tk.StringVar(value=data['dim_f'])
except:
self.dim_f_var = tk.StringVar(value=data_alt['dim_f'])
try:
self.ensChoose_var = tk.StringVar(value=data['ensChoose'])
except:
self.ensChoose_var = tk.StringVar(value=data_alt['ensChoose'])
try:
self.exportPath_var = tk.StringVar(value=data['exportPath'])
except:
self.exportPath_var = tk.StringVar(value=data_alt['exportPath'])
try:
self.flactype_var = tk.StringVar(value=data['flactype'])
except:
self.flactype_var = tk.StringVar(value=data_alt['flactype'])
try:
self.gpuConversion_var = tk.BooleanVar(value=data['gpu'])
except:
self.gpuConversion_var = tk.BooleanVar(value=data_alt['gpu'])
try:
self.inputPathop_var = tk.StringVar(value=data['inputPaths'])
except:
self.inputPathop_var = tk.StringVar(value=data_alt['inputPaths'])
try:
self.inputPaths = data['inputPaths']
except:
self.inputPaths = data_alt['inputPaths']
try:
self.inst_only_b_var = tk.BooleanVar(value=data['inst_only_b'])
except:
self.inst_only_b_var = tk.BooleanVar(value=data_alt['inst_only_b'])
try:
self.inst_only_var = tk.BooleanVar(value=data['inst_only'])
except:
self.inst_only_var = tk.BooleanVar(value=data_alt['inst_only'])
try:
self.instrumentalModel_var = tk.StringVar(value=data['modelInstrumentalLabel'])
except:
self.instrumentalModel_var = tk.StringVar(value=data_alt['modelInstrumentalLabel'])
try:
self.margin_var = tk.StringVar(value=data['margin'])
except:
self.margin_var = tk.StringVar(value=data_alt['margin'])
try:
self.mdx_only_ensem_a_var = tk.StringVar(value=data['mdx_only_ensem_a'])
except:
self.mdx_only_ensem_a_var = tk.StringVar(value=data_alt['mdx_only_ensem_a'])
try:
self.mdx_only_ensem_b_var = tk.StringVar(value=data['mdx_only_ensem_b'])
except:
self.mdx_only_ensem_b_var = tk.StringVar(value=data_alt['mdx_only_ensem_b'])
try:
self.mdx_only_ensem_c_var = tk.StringVar(value=data['mdx_only_ensem_c'])
except:
self.mdx_only_ensem_c_var = tk.StringVar(value=data_alt['mdx_only_ensem_c'])
try:
self.mdx_only_ensem_d_var = tk.StringVar(value=data['mdx_only_ensem_d'])
except:
self.mdx_only_ensem_d_var = tk.StringVar(value=data_alt['mdx_only_ensem_d'])
try:
self.mdx_only_ensem_e_var = tk.StringVar(value=data['mdx_only_ensem_e'])
except:
self.mdx_only_ensem_e_var = tk.StringVar(value=data_alt['mdx_only_ensem_e'])
try:
self.mdxensemchoose_b_var = tk.StringVar(value=data['mdx_ensem_b'])
except:
self.mdxensemchoose_b_var = tk.StringVar(value=data_alt['mdx_ensem_b'])
try:
self.mdxensemchoose_var = tk.StringVar(value=data['mdx_ensem'])
except:
self.mdxensemchoose_var = tk.StringVar(value=data_alt['mdx_ensem'])
try:
self.mdxnetModel_var = tk.StringVar(value=data['mdxnetModel'])
except:
self.mdxnetModel_var = tk.StringVar(value=data_alt['mdxnetModel'])
try:
self.mdxnetModeltype_var = tk.StringVar(value=data['mdxnetModeltype'])
except:
self.mdxnetModeltype_var = tk.StringVar(value=data_alt['mdxnetModeltype'])
try:
self.mixing_var = tk.StringVar(value=data['mixing'])
except:
self.mixing_var = tk.StringVar(value=data_alt['mixing'])
try:
self.modeldownload_type_var = tk.StringVar(value=data['modeldownload_type'])
except:
self.modeldownload_type_var = tk.StringVar(value=data_alt['modeldownload_type'])
try:
self.modeldownload_var = tk.StringVar(value=data['modeldownload'])
except:
self.modeldownload_var = tk.StringVar(value=data_alt['modeldownload'])
try:
self.modeldownload_mdx_var = tk.StringVar(value=data['modeldownload_mdx'])
except:
self.modeldownload_mdx_var = tk.StringVar(value=data_alt['modeldownload_mdx'])
try:
self.modeldownload_demucs_var = tk.StringVar(value=data['modeldownload_demucs'])
except:
self.modeldownload_demucs_var = tk.StringVar(value=data_alt['modeldownload_demucs'])
try:
self.modelFolder_var = tk.BooleanVar(value=data['modelFolder'])
except:
self.modelFolder_var = tk.BooleanVar(value=data_alt['modelFolder'])
try:
self.ModelParams_var = tk.StringVar(value=data['ModelParams'])
except:
self.ModelParams_var = tk.StringVar(value=data_alt['ModelParams'])
try:
self.mp3bit_var = tk.StringVar(value=data['mp3bit'])
except:
self.mp3bit_var = tk.StringVar(value=data_alt['mp3bit'])
try:
self.n_fft_scale_var = tk.StringVar(value=data['n_fft_scale'])
except:
self.n_fft_scale_var = tk.StringVar(value=data_alt['n_fft_scale'])
try:
self.noise_pro_select_var = tk.StringVar(value=data['noise_pro_select'])
except:
self.noise_pro_select_var = tk.StringVar(value=data_alt['noise_pro_select'])
try:
self.noisereduc_s_var = tk.StringVar(value=data['noisereduc_s'])
except:
self.noisereduc_s_var = tk.StringVar(value=data_alt['noisereduc_s'])
try:
self.noisereduc_var = tk.BooleanVar(value=data['noise_reduc'])
except:
self.noisereduc_var = tk.BooleanVar(value=data_alt['noise_reduc'])
try:
self.non_red_var = tk.BooleanVar(value=data['non_red'])
except:
self.non_red_var = tk.BooleanVar(value=data_alt['non_red'])
try:
self.nophaseinst_var = tk.BooleanVar(value=data['nophaseinst'])
except:
self.nophaseinst_var = tk.BooleanVar(value=data_alt['nophaseinst'])
try:
self.normalize_var = tk.BooleanVar(value=data['normalize'])
except:
self.normalize_var = tk.BooleanVar(value=data_alt['normalize'])
try:
self.outputImage_var = tk.BooleanVar(value=data['output_image'])
except:
self.outputImage_var = tk.BooleanVar(value=data_alt['output_image'])
try:
self.overlap_b_var = tk.StringVar(value=data['overlap_b'])
except:
self.overlap_b_var = tk.StringVar(value=data_alt['overlap_b'])
try:
self.overlap_var = tk.StringVar(value=data['overlap'])
except:
self.overlap_var = tk.StringVar(value=data_alt['overlap'])
try:
self.postprocessing_var = tk.BooleanVar(value=data['postprocess'])
except:
self.postprocessing_var = tk.BooleanVar(value=data_alt['postprocess'])
try:
self.save_var = tk.BooleanVar(value=data['save'])
except:
self.save_var = tk.BooleanVar(value=data_alt['save'])
try:
self.saveFormat_var = tk.StringVar(value=data['saveFormat'])
except:
self.saveFormat_var = tk.StringVar(value=data_alt['saveFormat'])
try:
self.selectdownload_var = tk.StringVar(value=data['selectdownload'])
except:
self.selectdownload_var = tk.StringVar(value=data_alt['selectdownload'])
try:
self.segment_var = tk.StringVar(value=data['segment'])
except:
self.segment_var = tk.StringVar(value=data_alt['segment'])
try:
self.settest_var = tk.BooleanVar(value=data['settest'])
except:
self.settest_var = tk.BooleanVar(value=data_alt['settest'])
try:
self.shifts_b_var = tk.StringVar(value=data['shifts_b'])
except:
self.shifts_b_var = tk.StringVar(value=data_alt['shifts_b'])
try:
self.shifts_var = tk.StringVar(value=data['shifts'])
except:
self.shifts_var = tk.StringVar(value=data_alt['shifts'])
try:
self.split_mode_var = tk.BooleanVar(value=data['split_mode'])
except:
self.split_mode_var = tk.BooleanVar(value=data_alt['split_mode'])
try:
self.tta_var = tk.BooleanVar(value=data['tta'])
except:
self.tta_var = tk.BooleanVar(value=data_alt['tta'])
try:
self.voc_only_b_var = tk.BooleanVar(value=data['voc_only_b'])
except:
self.voc_only_b_var = tk.BooleanVar(value=data_alt['voc_only_b'])
try:
self.voc_only_var = tk.BooleanVar(value=data['voc_only'])
except:
self.voc_only_var = tk.BooleanVar(value=data_alt['voc_only'])
try:
self.vrensemchoose_a_var = tk.StringVar(value=data['vr_ensem_a'])
except:
self.vrensemchoose_a_var = tk.StringVar(value=data_alt['vr_ensem_a'])
try:
self.vrensemchoose_b_var = tk.StringVar(value=data['vr_ensem_b'])
except:
self.vrensemchoose_b_var = tk.StringVar(value=data_alt['vr_ensem_b'])
try:
self.vrensemchoose_c_var = tk.StringVar(value=data['vr_ensem_c'])
except:
self.vrensemchoose_c_var = tk.StringVar(value=data_alt['vr_ensem_c'])
try:
self.vrensemchoose_d_var = tk.StringVar(value=data['vr_ensem_d'])
except:
self.vrensemchoose_d_var = tk.StringVar(value=data_alt['vr_ensem_d'])
try:
self.vrensemchoose_e_var = tk.StringVar(value=data['vr_ensem_e'])
except:
self.vrensemchoose_e_var = tk.StringVar(value=data_alt['vr_ensem_e'])
try:
self.vr_multi_USER_model_param_1 = tk.StringVar(value=data['vr_multi_USER_model_param_1'])
except:
self.vr_multi_USER_model_param_1 = tk.StringVar(value=data_alt['vr_multi_USER_model_param_1'])
try:
self.vr_multi_USER_model_param_2 = tk.StringVar(value=data['vr_multi_USER_model_param_2'])
except:
self.vr_multi_USER_model_param_2 = tk.StringVar(value=data_alt['vr_multi_USER_model_param_2'])
try:
self.vr_multi_USER_model_param_3 = tk.StringVar(value=data['vr_multi_USER_model_param_3'])
except:
self.vr_multi_USER_model_param_3 = tk.StringVar(value=data_alt['vr_multi_USER_model_param_3'])
try:
self.vr_multi_USER_model_param_4 = tk.StringVar(value=data['vr_multi_USER_model_param_4'])
except:
self.vr_multi_USER_model_param_4 = tk.StringVar(value=data_alt['vr_multi_USER_model_param_4'])
try:
self.vr_basic_USER_model_param_1 = tk.StringVar(value=data['vr_basic_USER_model_param_1'])
except:
self.vr_basic_USER_model_param_1 = tk.StringVar(value=data_alt['vr_basic_USER_model_param_1'])
try:
self.vr_basic_USER_model_param_2 = tk.StringVar(value=data['vr_basic_USER_model_param_2'])
except:
self.vr_basic_USER_model_param_2 = tk.StringVar(value=data_alt['vr_basic_USER_model_param_2'])
try:
self.vr_basic_USER_model_param_3 = tk.StringVar(value=data['vr_basic_USER_model_param_3'])
except:
self.vr_basic_USER_model_param_3 = tk.StringVar(value=data_alt['vr_basic_USER_model_param_3'])
try:
self.vr_basic_USER_model_param_4 = tk.StringVar(value=data['vr_basic_USER_model_param_4'])
except:
self.vr_basic_USER_model_param_4 = tk.StringVar(value=data_alt['vr_basic_USER_model_param_4'])
try:
self.vr_basic_USER_model_param_5 = tk.StringVar(value=data['vr_basic_USER_model_param_5'])
except:
self.vr_basic_USER_model_param_5 = tk.StringVar(value=data_alt['vr_basic_USER_model_param_5'])
try:
self.vrensemchoose_mdx_a_var = tk.StringVar(value=data['vr_ensem_mdx_a'])
except:
self.vrensemchoose_mdx_a_var = tk.StringVar(value=data_alt['vr_ensem_mdx_a'])
try:
self.vrensemchoose_mdx_b_var = tk.StringVar(value=data['vr_ensem_mdx_b'])
except:
self.vrensemchoose_mdx_b_var = tk.StringVar(value=data_alt['vr_ensem_mdx_b'])
try:
self.vrensemchoose_mdx_c_var = tk.StringVar(value=data['vr_ensem_mdx_c'])
except:
self.vrensemchoose_mdx_c_var = tk.StringVar(value=data_alt['vr_ensem_mdx_c'])
try:
self.vrensemchoose_var = tk.StringVar(value=data['vr_ensem'])
except:
self.vrensemchoose_var = tk.StringVar(value=data_alt['vr_ensem'])
try:
self.wavtype_var = tk.StringVar(value=data['wavtype'])
except:
self.wavtype_var = tk.StringVar(value=data_alt['wavtype'])
try:
self.winSize_var = tk.StringVar(value=data['window_size'])
except:
self.winSize_var = tk.StringVar(value=data_alt['window_size'])
try:
self.lastDir = data['lastDir']
except:
self.lastDir = data_alt['lastDir']
self.last_aiModel = self.aiModel_var.get()
self.last_algo = self.aiModel_var.get()
self.last_ensChoose = self.ensChoose_var.get()
self.download_progress_var = tk.StringVar(value='')
self.download_progress_bar_var = tk.StringVar(value='')
self.download_progress_bar_zip_var = tk.IntVar(value=0)
self.download_stop_var = tk.StringVar(value='')
self.progress_var = tk.IntVar(value=0)
self.last_mdxnetModel = self.mdxnetModel_var.get()
self.inputPathsEntry_var = tk.StringVar(value='')
# Font
pyglet.font.add_file('lib_v5/fonts/centurygothic/GOTHIC.TTF')
self.font = tk.font.Font(family='Century Gothic', size=10)
self.fontRadio = tk.font.Font(family='Century Gothic', size=8)
# --Widgets--
self.create_widgets()
self.bind_widgets()
self.place_widgets()
self.update_available_models()
self.update_states()
self.update_loop()
global space_fill_wide
global space_medium_l
global space_medium
global space_small
global space_tiny
global download_code_file
global user_code_file
global download_code_temp_dir
download_code_file = 'lib_v5/filelists/download_codes/user_code_download.txt'
user_code_file = 'lib_v5/filelists/download_codes/user_code.txt'
download_code_temp_dir = 'lib_v5/filelists/download_codes/temp'
space_fill_wide = ' '*32
space_medium_l = ' '*20
space_medium = ' '*17
space_small = ' '*10
space_tiny = ' '*5
# -Widget Methods-
def create_widgets(self):
"""Create window widgets"""
self.title_Label = tk.Label(master=self,